Jeremy Jordan
ML EngineerProduct-focused machine learning engineer
NVIDIA
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Product-focused machine learning engineer
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Udacity
Nanodegree, Machine Learning
N/A – Present
North Carolina State University
Bachelor of Science (BS), Materials Science Engineering
N/A – Present
NVIDIA
Senior ML Engineer, Information Retrieval
May 1, 2024 – Present
Remote
Duo Security
Tech Lead, Machine Learning
October 1, 2023 – May 1, 2024
Remote
Duo Security
Senior Machine Learning Engineer
February 1, 2022 – October 1, 2023
Remote
Duo Security
Machine Learning Engineer
March 1, 2021 – February 1, 2022
Remote
Proofpoint
Data Scientist, Machine Learning
August 1, 2018 – March 1, 2021
Hybrid
One Drop, Informed Data Systems Inc.
Machine Learning Consultant
July 1, 2018 – August 1, 2018
Mobius Labs
Founder and Data Scientist
October 1, 2017 – March 1, 2018
Raleigh-Durham, North Carolina Area
Udacity
Machine Learning Mentor
October 1, 2017 – June 1, 2018
Remote (part time)
Red Hat
Data Science Intern
May 1, 2016 – August 1, 2016
Raleigh-Durham, North Carolina Area
NC State University
Undergraduate Research: Computational modeling of material-liquid-nanoparticulate systems.
September 1, 2015 – April 1, 2016
Raleigh-Durham, North Carolina Area
LORD Corporation
Materials Science Engineering Intern, NC Space Grant Fellow
May 1, 2015 – July 1, 2015
Raleigh-Durham, North Carolina Area
NC State University
Undergraduate Research: Improving the effectiveness in student-learning for organic chemistry.
January 1, 2015 – January 1, 2016
Raleigh-Durham, North Carolina Area
NC State University
Undergraduate Research: Novel approach using metals for pollutant removal process.
June 1, 2013 – May 1, 2015
Raleigh-Durham, North Carolina Area
Triangle Aquatic Center
Lifeguard
May 1, 2011 – July 1, 2014
Cary NC
Customer Segmentation with Unsupervised Learning
July 1, 2017 – Present
Segmented customers using soft clustering (Gaussian Mixture Modeling) given information on purchasing history in various wholesale categories; data was provided by UCI (Wholesale customers dataset). Number of segments was chosen by silhouette analysis. Reduced dimensionality with PCA to visualize the customer segments in a human-interpretable format.
Dog Breed Image Classifier
July 1, 2017 – Present
Built a convolutional neural network with Keras (powered by a Tensorflow backend) to identify dogs in photos and predict their breed. Training was augmented via transfer learning using the weights from Google’s InceptionV3 architecture; all convolutional layers were frozen while the top model was trained locally. Achieved an accuracy of 79% correct breed identification on the test set.
Aquanix
August 1, 2016 – May 1, 2017
Aquanix develops innovative nature-inspired materials for water-collection applications. Aquanix’s first product is a humidity filter which decreases the energy load on industrial HVAC units for dehumidifying input air. - Met with local potential customers to validate our hypothesis and better understand their problem. - Created interest from two local universities who would like to pilot our technology in their laboratory buildings on campus. - Researched potential solutions, using nature as a case study, and developed a procedure for the small-scale manufacturing of our technology. This company was founded as part of the NC State Engineering Entrepreneurs Program. This project stands in place of a traditional "senior design" project.
BoostOurTeam
May 1, 2015 – May 1, 2017
A dynamic fundraising platform designed to make sports teams' fundraising process simple and painless.
Machine Learning Engineer Nanodegree
Udacity
June 24, 2026 – Present
Architecting with Google Kubernetes Engine Specialization
Coursera
June 24, 2026 – Present
Deep Learning Specialization
Coursera
June 24, 2026 – Present
Machine Learning with TensorFlow on Google Cloud Platform Specialization
Coursera
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from entrepreneurial ventures (Aquanix, Mobius Labs) to academic research and industry roles, indicates adaptability and a broad interest in applying technical skills to various domains. Their progression through multiple ML-focused roles at different companies (Proofpoint, Duo Security, NVIDIA) aligns well with a growth-oriented culture. The Udacity mentorship role also suggests a willingness to contribute to the community and share knowledge. The target role of ML Engineer is a strong fit given their career path and project experience.
Soft Skills & Operational Fit
The candidate's experience as a Tech Lead and Founder, along with their mentorship role, suggests strong leadership, problem-solving, and communication skills. Their involvement in various research projects and a startup indicates a proactive and innovative mindset. The detailed project descriptions and career progression demonstrate a strong work ethic and ability to handle complex technical challenges. The lack of specific psychometric test results prevents a direct assessment of stress handling or team collaboration, but the career trajectory implies effective collaboration in team environments.